There is also a discrepancy between such event causality corpora and other causality corpora. Penn Discourse Treebank (PDTB) [1]}, [2]}, [3]} is a corpus that annotates semantic relations (including causal relations) between clauses, expressed either explicitly or implicitly. This corpus is large (e.g. PDTB-3 has over \(7,000\)  examples for the Contingency.Cause sense alone) and is potentially useful for training an accurate event sentence classifier. Therefore, we believe that it will be beneficial to align the annotation guidelines of these two corpora types. We did so by constructing event causality annotation guidelines using linguistic rules adapted from PDTB-3. However, our corpus differs from PDTB-3 by focusing on event sentences and accepting more fine-grained arguments that do not necessarily form a clause. This approach of including more varied constructions of causality is similar to the work by BECauSE 2.0 [4]}.
